VLM Data Doctor
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Image-text SFT / Data quality report

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Review data issues before you start the next training run. Every finding points to a row and a field.

ERRORS FOUND
Source records4train 3 · eval 1
Errors3Findings that block this profile
Warnings1Review against your task policy
Decoded image files1Unique resolved paths

Findings by rule

image_token_mismatch1
missing_image1
split_image_overlap1
split_sample_overlap1

Counts are findings, not distinct failed records. Showing up to six rules.

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4 findings
SeverityRuleLocationWhat to do
errorimage_token_mismatchtrain:1imagesFound 0 <image> markers and 1 image paths; align them.
errormissing_imagetrain:2images[0]Reference an existing regular image file beneath the image root.
warningsplit_image_overlapeval:1imagesIdentical image bytes appear at train:1; review the split policy.
errorsplit_sample_overlapeval:1recordSame sample as train:3; remove overlap before evaluating.
Reproducibility manifest · input hashes and settings
{
  "tool": "vlm-data-doctor",
  "version": "0.3.1",
  "profile": "image-text-sft-v2",
  "python": "3.12.15",
  "pillow": "12.3.0",
  "settings": {
    "max_pixels": 40000000,
    "group_key": null
  },
  "dataset_sha256": {
    "train": "59927f7c7f75f8275b3179cba5476dcca0d5a56916f19511b4a0d6f56df464d9",
    "eval": "5393e4e402c0a36f54fa0114d78f3eda714ac9712bda9e9aacd12e217f0c3ca4"
  },
  "decoded_image_inventory_sha256": "86b44209ff53766beb14ffa63f41df2929ec2225e4e3580cef52935b98573bec"
}